Titlebook: Streaming Linked Data; From Vision to Pract Riccardo Tommasini,Pieter Bonte,Emanuele Della Val Book 2023 The Editor(s) (if applicable) and

TIGER

Taming Variety and Velocity,a solutions have targeted Velocity through Stream Processing Engines and Variety through Semantic Web technologies. However, processing both Variety and Velocity simultaneously is still an open research problem. This chapter explains how Variety and Velocity can be targeted at once through RDF Strea

Tidious

Unsaturated-Fat

Immobilize

Indent

挖掘

Preliminaries,described by including classic concepts like the Web of Data (WoD), Resource Description Framework (RDF), RDF Schema, the Web Ontology Language (OWL 2), the SPARQL query language and related semantics, and the Linked Data concept, with an updated possible depiction of the Semantic Web stack.

CAB

Web Stream Processing Systems and Benchmarks,e the challenges above and mitigate the problem of a fair performance evaluation for RDF Stream Processing engines. In particular, this chapter presents systems architectures, benchmarks, and tool for RSP benchmarking.

Analogy

Taming Variety and Velocity,wing to understand the internals and challenges of RSP engines. Next to various examples of RSP engines, efficient inference schemes will be detailed that allow to perform reasoning over RDF data streams. This chapter provides ample examples and details how different types of analytics can be employed over Web Streams.

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Exercise Book,Next to the location-detection example, this chapter also presents illustrative examples of Web streams. In particular, this chapter features . (.) that shares the RDF changes on DBPedia, . (.) that streams the changes across all the WikiMedia projects, and the . (.) streams.